Maitai
Maitai provides an enterprise AI lifecycle platform with a continuous production learning loop that turns real usage into improved models, workflows, and agents, serving regulated industries and voice AI customers requiring SOC 2 and HIPAA compliance.
- Company typePrivate
- Founded2024
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Maitai does
Maitai is an enterprise AI platform founded in 2024 and headquartered in San Francisco. The company provides a production-ready AI lifecycle platform built around a proprietary "Production Learning Loop" architecture that continuously converts production traffic — requests, traces, outcomes, and feedback — into improved models, workflows, and agents. Its product surface includes a core platform module, automated fine-tuning and distillation pipelines, a Python SDK for workflow and agent orchestration, real-time monitoring with offline evaluations, a contextual in-portal assistant (Maitai Mojo), voice agent capabilities with sub-100ms response times, and complex classification tooling for regulated industries.
The platform is designed to serve enterprise customers in regulated sectors (customs and trade, finance, healthcare) and voice AI applications where reliability, auditability, and compliance are non-negotiable. Technical differentiators include real-time Sentinel guardrails for output correction, Agent ACLs for subagent access control, full workflow/model/agent versioning with rollback, and an automated data curation and fine-tuning pipeline that produces task-specific models outperforming generic LLMs on narrow, high-stakes tasks. Security and trust features include SOC 2 Type II and HIPAA compliance, AES-256 encryption, GDPR readiness, and on-prem or VPC deployment options.
Maitai monetizes through a hybrid GTM combining a self-serve Professional tier ($199/month flat plus usage-based overages) with custom-priced Enterprise contracts sold through a consultative sales motion. Enterprise tier customers receive dedicated infrastructure, continuous learning, custom SLAs, on-prem/VPC deployment, and dedicated FDE/CSM resources. The company is Y Combinator-backed, has disclosed one enterprise case-study customer (Phonely) via a GroqCloud-integrated voice agent deployment, and reports a production-scale classification workload of more than one million HS tariff codes.
Maitai firmographics
Firmographics- Name
- Maitai
- Website
- https://trymaitai.ai
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Maitai provides an enterprise AI lifecycle platform with a continuous production learning loop that turns real usage into improved models, workflows, and agents, serving regulated industries and voice AI customers requiring SOC 2 and HIPAA compliance.
- Ownership category
- akta.pro rank
Maitai industry classification
Industry- Product category
- Enterprise AI Platform
- akta.pro primary industry
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
- akta.pro secondary industries
- LLM/GenAI Guardrails & Safety Controls (policy, filtering, routing) (HDAAAKAD), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), AI/ML Engineering & Model Development Services (BPAEAHAF), Model Compression & Optimization (Quantization, Distillation, Pruning) (HDAAACAL)
Keywords
Where Maitai is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Maitai business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Professional Tier Subscription: Monthly flat fee of $199 plus additional usage charges. Includes up to 5 active users, fine-tuning and hosting of custom models, unlimited workflows and agents, 30-day indexed production traffic retention, unlimited datasets/test sets/monitors/sentinels, and Maitai Mojo with standard usage allowance. Users bring their own model keys or use Maitai's. Tier is designed for builders and teams shipping production AI.
- Enterprise Tier (Custom Volume Pricing): Custom volume-based pricing with dedicated infrastructure. Includes everything in Professional plus expanded indexed traffic and extended retention, Continuous Learning (automatic model improvements), dedicated inference and custom SLAs, on-prem and VPC deployment, SOC 2/HIPAA compliance with signed DPAs, SSO/SAML, hands-on model/workflow/agent build support, and dedicated FDE, CSM, and Slack channel. Upsell/expand from Professional tier.
- Additional Usage Charges (Professional Tier): Beyond the $199 flat monthly fee, additional usage-based charges apply. This hybrid model combines a base subscription with consumption-based overage pricing.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | For builders and teams shipping production AI |
| Subscription | Multi-year contract | White-glove deployment for production-critical AI with dedicated infrastructure |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels3 records
Maitai product offering
Product offeringCore offering
Maitai is an enterprise AI platform that provides a production-ready LLM stack built around a closed-loop Production Learning Loop, continuously turning real production traffic into better models, workflows, and agents. Customers subscribe to either a self-serve Professional tier ($199/month plus usage) for builders and small teams, or a custom-priced Enterprise tier with dedicated infrastructure, white-glove deployment, on-prem/VPC options, and SOC 2/HIPAA compliance for regulated industries. Packaged capabilities include sub-100ms voice agent reasoning, high-accuracy complex classification (e.g., 99% accuracy on customs HS tariff codes), and continuous automated fine-tuning and distillation.
Product overview
Maitai is an enterprise AI platform built around a production learning loop architecture that continuously improves AI systems from real usage data. The platform consists of a unified core (Maitai Platform) that orchestrates interconnected modules: Models & Fine-tuning for continuous learning from production data, Workflows & Agents for Python SDK-based pipeline management, Monitoring & Observability for real-time traffic evaluation, and Maitai Mojo as a built-in contextual assistant. Domain-specific capabilities include Voice Agents for sub-second autonomous task completion and Complex Classification for regulated industries. Security & Trust features provide enterprise-grade compliance (SOC 2 Type II, HIPAA) with deployment flexibility across cloud and on-premises environments.
Differentiator
Problem solved
Functional benefit
Brands
- Maitai Mojo: A fully contextual assistant built into the Portal for managing AI lifecycle, building datasets, and fine-tuning models.
Products and services
- Maitai Platform Enterprise AI lifecycle management platform providing a closed-loop Production Learning Loop that indexes production traffic, evaluates outputs in real time, fine-tunes models from live data, and promotes validated releases. Available in a self-serve Professional tier ($199/month plus usage) for builders and small teams, and a custom-priced Enterprise tier with dedicated infrastructure, on-prem/VPC deployment, SOC 2/HIPAA compliance, and white-glove build support for regulated industries.
Quantifiable outcome
- 99% accuracy in customs tariff classification with 100% defensibility and 350ms p95 response time
- +5 more outcomes
Companies that use Maitai
Customer profileNamed customers1 record
Segments3 records
Ideal customer profiles3 records
Maitai technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability9 records
Feature9 records
Maitai partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- PhonelycorePhonely partnered with Maitai using GroqCloud's infrastructure to power its voice AI agent solution. The case study demonstrates Phonely achieving a 73.4% reduction in time to first token and accuracy improvement from 81.5% to 99.2%, showcasing Maitai as the reasoning engine for Phonely's complex voice agents.
- GroqCloudcoreMaitai's models are deployed on GroqCloud's LPU inference hardware, which provides the low-latency infrastructure needed to achieve sub-100ms voice agent response times. GroqCloud's LoRA fine-tune support is available for Enterprise tier customers. Phonely's case study explicitly highlights the Maitai + GroqCloud combination as delivering the performance results.
Scale indicators4 records
Maitai competitors and assessment
Company assessmentDirect peers
- LangChain: LangChain provides a popular open-source framework and LangSmith observability/evaluation product for building, monitoring, and deploying LLM applications. Directly comparable to Maitai's workflow, agent, and monitoring capabilities and serving the same developer and enterprise buyer.
- Arize AI: Arize AI is an AI observability and LLM evaluation platform offering drift detection, tracing, and production monitoring for ML/LLM systems. Closely overlaps Maitai's Monitoring & Observability and Sentinels modules for production-grade AI deployments.
- Helicone: Helicone is an open-source LLM observability platform providing logging, monitoring, evaluation, and prompt management for production LLM apps. Direct competitor to Maitai's monitoring, sentinels, and workflow versioning for developers shipping production AI.
- Braintrust: Braintrust is an LLM evaluation and observability platform that helps teams score, trace, and improve production prompts and agents. Directly comparable to Maitai's behavioral evals, multi-step agent tracing, and continuous improvement loop.
- WhyLabs: WhyLabs provides AI observability, data drift detection, and LLM guardrails for production models. Overlaps with Maitai's real-time Sentinels, drift detection, and monitoring offerings for regulated and high-stakes deployments.
- Vellum: Vellum is an LLM development platform for prompt engineering, evaluation, and workflow orchestration targeting enterprise teams. Comparable to Maitai's workflow versioning, fine-tuning, and collaboration features for builders and regulated enterprises.
- PromptLayer: PromptLayer offers prompt management, versioning, evaluation, and observability for LLM applications. Closely competes with Maitai's Professional tier capabilities aimed at developers and small teams shipping production AI.
Broad incumbents
- Weights & Biases: Weights & Biases is a broad ML/LLM platform covering experiment tracking, model evaluation, dataset versioning, and production monitoring. Competes with Maitai's fine-tuning pipelines, dataset curation, and observability, but serves a wider range of ML use cases beyond LLMs.
- Datadog: Datadog is a broad cloud observability incumbent that has added LLM monitoring, tracing, and guardrail capabilities via Watchdog and LLM Observability. Competes with Maitai's enterprise monitoring but as part of a much larger APM/logging portfolio.
Emerging players
- Retool: Retool is a low-code internal-tools platform that has expanded into AI workflow building and agent deployment with versioning and integration features. Partially comparable to Maitai's Workflows & Agents product for teams building production AI applications.
Market position
Strengths5 records
Weaknesses5 records
Key risks6 records
Key highlights7 records
Customer concentration
Maitai social profiles
Digital presenceMaitai compliance and trust
Trust signalCompliance3 records
Maitai financial estimates
Financial estimateRevenue estimate
Valuation estimate
Maitai leadership team
Management profileNumber of profiles
Profiles2 records
Maitai funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Maitai M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Maitai
What does Maitai do?
Maitai is an enterprise AI platform that provides a production-ready LLM stack built around a closed-loop Production Learning Loop, continuously turning real production traffic into better models, workflows, and agents. Customers subscribe to either a self-serve Professional tier ($199/month plus usage) for builders and small teams, or a custom-priced Enterprise tier with dedicated infrastructure, white-glove deployment, on-prem/VPC options, and SOC 2/HIPAA compliance for regulated industries. Packaged capabilities include sub-100ms voice agent reasoning, high-accuracy complex classification (e.g., 99% accuracy on customs HS tariff codes), and continuous automated fine-tuning and distillation.
Is Maitai a public or private company?
Maitai is a private company. It is classified as venture growth investor backed and is currently operating.
When was Maitai founded?
Maitai was founded in 2024. It employs 1 to 10 people.
Where is Maitai based?
Maitai is headquartered in San Francisco, United States, in the North America region.
How does Maitai make money?
Three revenue lines are on record. Professional Tier Subscription is the primary driver. The others are enterprise Tier (Custom Volume Pricing) and additional Usage Charges (Professional Tier).
Who are Maitai's main competitors?
Direct peers on record are LangChain, Arize AI, Helicone, Braintrust, WhyLabs, Vellum and PromptLayer. Broad incumbents are Weights & Biases and Datadog. Retool is listed as an emerging player.
Does Maitai have an API?
No public API is recorded for Maitai.
What industry is Maitai in?
Maitai's product category is Enterprise AI Platform. Its primary akta.pro industry code is HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG), with a secondary code of HDAAAKAD, LLM/GenAI Guardrails & Safety Controls (policy, filtering, routing).